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The Python Data Engineer will design and build data pipelines for a financial services project using Python, Spark, Databricks, and Azure. This is a contract role requiring onsite presence in Poland.
Senior Data Analyst responsible for transforming financial data (superannuation, retirement, platforms) into actionable insights, regulatory reports, and improving data quality. Works with stakeholders, data stewards, and tech teams to build trusted data assets, maintain data integrity, and deliver business intelligence using tools like Power BI, SQL, and Python.
Designs and implements enterprise-grade Azure cloud infrastructure for data, analytics, and AI workloads using Terraform and Azure DevOps, ensuring scalability, security, and automation.
Sidetrade is seeking a DevOps Engineer to design and maintain their private cloud infrastructure using Linux, Ansible, and Hyper-V. The role involves managing containerized applications, monitoring system health, and ensuring high availability for their AI-driven Order-to-Cash platform.
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our…
The Lead Software Engineer will develop and maintain a large-scale Data Lake platform using Python, C#.NET, and various AWS services. The role involves designing scalable solutions, optimizing database performance, and collaborating with cross-functional teams in an agile environment.
The Senior Associate AI Data Engineer will design and implement scalable data pipelines and machine learning models to solve complex business problems. The role involves collaborating with global stakeholders and utilizing technologies such as Azure, Snowflake, SQL, and advanced analytics tools.
Designs and governs Snowflake-based data architectures, including data warehousing, AI/ML-ready pipelines, and cross-cloud integrations, while optimizing costs and ensuring data security.
Designs and governs Snowflake-based data architectures, including data warehousing, AI/ML-ready pipelines, and cross-cloud integrations, while optimizing costs and ensuring security.
Lead the design and delivery of GM Financial’s cloud data analytics platform, building scalable Azure/Databricks pipelines, APIs, and AI-ready data layers to power analytics, ML, and reporting across global markets.
The Program Manager leads a multidisciplinary team supporting DHS in delivering cloud, data analytics, and AI solutions using Agile methodologies. The role involves managing technical delivery, stakeholder engagement, and program operations across complex federal projects.
Build and optimize AWS-based data pipelines and products using Python, PySpark, and Scala to power CommBank’s Business Banking analytics and AI-driven solutions.
Build and maintain scalable AWS data pipelines and lakehouse architectures for pharma analytics and AI/ML workloads, integrating commercial data sources like Veeva and Xponent.
Leads enterprise-scale data and analytics solutions for Adobe’s Sales & Post-Sales teams, translating business needs into technical requirements and driving self-service tools for data-driven decision-making. Collaborates with engineering, stakeholders, and cross-functional PMs to design, prioritize, and deliver scalable data solutions.
Analyze credit risk and portfolio data to produce insights and reports for risk oversight in banking, using Python, SQL, and Tableau.
Build and maintain scalable test infrastructure for Amazon's LEO satellite network, using AWS and AI/ML to analyze satellite telemetry and detect anomalies in real-time.
Lead the design of enterprise data architecture and modeling standards for Disney’s guest-facing digital platforms, using cloud warehouses and transformation tools.
Designs and aligns data architecture with business strategy, ensuring scalable, secure, and modern data solutions for a leading fintech company. Focuses on data modeling, cloud integration, and emerging tech like real-time data movement and data virtualization.
Builds and maintains scalable data pipelines and feature engineering workflows on Databricks Lakehouse, transforming healthcare/member data into trusted assets for AI, ML, and decision intelligence. Focuses on real-time ingestion, data quality, governance, and collaboration with data science/AI teams.
Design and maintain cloud-native Snowflake data pipelines for Asset-Based Finance and mortgage analytics, building scalable ETL/ELT workflows and ensuring financial data integrity.
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